About Billigence:
Billigence is a boutique data consultancy with global outreach and clientele, transforming the way organisations work with data. We leverage proven, cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions across Cloud Data Warehousing, Visualisation, Data Science, Data Engineering, and Data Governance.
Headquartered in Sydney, Australia, with offices around the world, we help clients navigate complex business challenges, eliminate inefficiencies, and enable scalable, data-driven decision making.
About the Role:
We are looking for an experienced Data Architect to join a major business transformation programme and help shape the organisation's future data landscape.
You will work across data architecture
, modelling, integration and analytics, collaborating with engineering teams, business stakeholders, technology teams and delivery partners to develop scalable and governed data solutions.
The successful candidate will bring strong enterprise data architecture experience and be comfortable translating complex business requirements into clear data architectures, models and technical designs.
What You'll Do
- Define and develop enterprise data architectures across strategic programmes and projects.
- Translate business and reporting requirements into scalable data architecture solutions.
- Design conceptual, logical and physical data models.
- Define data structures, integration patterns and data flows across enterprise systems.
- Develop and maintain architecture documentation, technical designs and solution blueprints.
- Work closely with Data Engineering, Analytics, Solution Architecture and wider technology teams.
- Ensure data solutions align with enterprise architecture principles, governance frameworks and data standards.
- Support the definition of ETL/ELT and data integration requirements.
- Identify and manage architectural risks, dependencies and technical constraints.
- Contribute to architecture governance and technical design reviews.
- Work with third-party vendors and delivery partners to ensure architectural alignment.
- Support the delivery of high-quality, scalable and maintainable data platforms.
- Communicate complex data architecture concepts clearly to both technical and business stakeholders.
What You'll Need:
- Proven experience as a Data Architect, Enterprise Data Architect, Solutions Architect or similar senior architecture role.
- Strong experience designing enterprise-scale data architectures.
- 10+ years' experience across data, analytics, engineering or architecture.
- Strong expertise in data modelling, data integration, ETL/ELT and data warehousing.
- Experience working with complex enterprise data environments and multiple source systems.
- Strong understanding of modern cloud data platforms and analytics technologies.
- Experience defining data flows, integration frameworks and data structures.
- Experience producing architecture documentation, technical designs and solution blueprints.
- Understanding of data governance, architecture standards and enterprise technology principles.
- Strong stakeholder management and communication skills.
- Experience working with engineering teams, business stakeholders and third-party delivery partners.
- Experience managing architectural risks, dependencies and technical decisions across programmes.
- Experience working within Agile delivery environments.
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, Analytics, Information Systems or a related discipline..
- Collaborative and supportive consultancy culture.
Got any questions?
If you're an experienced Data Architect looking for the opportunity to shape enterprise data architecture within a major transformation programme, we'd love to hear from you.
Contact:
[email protected]
Skills Required
- Proven experience as a Data Architect, Enterprise Data Architect, Solutions Architect, or similar senior architecture role
- Strong experience designing enterprise-scale data architectures
- 10+ years of experience across data, analytics, engineering, or architecture
- Strong expertise in data modelling, data integration, ETL/ELT, and data warehousing
- Experience working with complex enterprise data environments and multiple source systems
- Strong understanding of modern cloud data platforms and analytics technologies
- Experience defining data flows, integration frameworks, and data structures
- Experience producing architecture documentation, technical designs, and solution blueprints
- Understanding of data governance, architecture standards, and enterprise technology principles
- Strong stakeholder management and communication skills
- Experience working with engineering teams, business stakeholders, and third-party delivery partners
- Experience managing architectural risks, dependencies, and technical decisions across programmes
- Experience working within Agile delivery environments
- Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, Analytics, Information Systems, or a related discipline
What We Do
We are headquartered in Sydney, Australia, with offices in Europe (London, Prague, Frankfurt, Stockholm, Warsaw), Bangalore, Singapore, New Zealand & United States. Billigence is a BI Consultancy and contingent labour service company with a growing customer base of large corporations across different industries as well as young and agile internet-based businesses. We help organisations big and small build scalable AI solutions that drive value by enhancing their data governance, aligning strategy and empowering their people. As a company we source and hire innovative data enthusiasts and believe data is the most powerful asset of today's businesses. That is why at Billigence, we are helping our clients to drive the business value of their data. We do this through our data proposition comprising of data consolidation and enrichment, data visualisation and analytics and data governance components. We deliver market leading recruitment services for temporary and contract labour hires to supplement our clients workforces. Our vision is to become leaders in helping companies to transform into digital age and reach their full potential by leveraging the power of their data. Billigence also leverages partnerships with some of the world’s most innovative data companies such as Snowflake, Collibra, Alteryx, Salesforce, Tableau, dbt Labs, H2O.ai, Matillion, Google Cloud Platform, Microsoft, Keboola & others
